NDLI: A MANET routing protocol using Q-learning method integrated with Bayesian network

Content Provider	IEEE Xplore Digital Library
Author	Ke Wang Wai-Choong Wong Teck Yoong Chai
Copyright Year	2012
Description	Author affiliation: Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore (Teck Yoong Chai) \|\| Department of Electrical and Computer Engineering, National University of Singapore, Singapore (Wai-Choong Wong) \|\| NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore (Ke Wang)
Abstract	Frequent changes in topology and link quality in mobile ad-hoc networks (MANETs) present challenging problems in achieving optimal performance. We propose a self-learning routing protocol based on Q-learning that makes use of Quality of Service (QoS) parameters such as Signal to Interference plus Noise Ratio (SINR), delay and throughput, to make routing decisions. At the same time, a Bayesian Network (BN) is implemented to estimate neighboring network congestion level to tune the Q-learning weights. Our protocol also sends out probing packets to detect and solve the routing-loop problem which is not addressed in most Q-learning-based routing proposals. The simulation results show that the proposed system demonstrates comparatively better performance in a dense heavy-loaded scenario.
Starting Page	270
Ending Page	274
File Size	1569501
Page Count	5
File Format	PDF
ISBN	9781467320528
e-ISBN	9781467320542
DOI	10.1109/ICCS.2012.6406152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Routing protocols Routing Delay Bayesian methods Signal to noise ratio Interference Throughput
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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